Geometric similarity between protein-RNA interfaces

(c) 2009 Wiley Periodicals, Inc.

Bibliographische Detailangaben
Veröffentlicht in:Journal of computational chemistry. - 1984. - 30(2009), 16 vom: 01. Dez., Seite 2738-51
1. Verfasser: Zhou, Peng (VerfasserIn)
Weitere Verfasser: Zou, Jianwei, Tian, Feifei, Shang, Zhicai
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2009
Zugriff auf das übergeordnete Werk:Journal of computational chemistry
Schlagworte:Journal Article PUM1 protein, human Proteins RNA-Binding Proteins RNA 63231-63-0
Beschreibung
Zusammenfassung:(c) 2009 Wiley Periodicals, Inc.
A new method is described to measure the geometric similarity between protein-RNA interfaces quantitatively. The method is based on a procedure that dissects the interface geometry in terms of the spatial relationships between individual amino acid nucleotide pairs. Using this technique, we performed an all-on-all comparison of 586 protein-RNA interfaces deposited in the current Protein Data Bank, as the result, an interface-interface similarity score matrix was obtained. Based upon this matrix, hierarchical clustering was carried out which yielded a complete clustering tree for the 586 protein-RNA interfaces. By investigating the organizing behavior of the clustering tree and the SCOP classification of protein partners in complexes, a geometrically nonredundant, diverse data set (representative data set) consisting of 45 distinct protein-RNA interfaces was extracted for the purpose of studying protein-RNA interactions, RNA regulations, and drug design. We classified protein-RNA interfaces into three types. In type I, the families and interface structural classes of the protein partners, as well as the interface geometries are all similar. In type II, the interface geometries and the interface structural classes are similar, whereas the protein families are different. In type III, only the interface geometries are similar but the protein families and the interface structural classes are distinct. Furthermore, we also show two new RNA recognition themes derived from the representative data set
Beschreibung:Date Completed 26.02.2010
Date Revised 12.10.2009
published: Print
Citation Status MEDLINE
ISSN:1096-987X
DOI:10.1002/jcc.21300